FuzzySort: replaced JS helper by a proper component so it can be used from plugins without any wrapper.

This commit is contained in:
Lemmy
2026-01-10 00:24:37 -05:00
parent 8ad19e0a4f
commit 8636e5be1d
10 changed files with 738 additions and 693 deletions
+730
View File
@@ -0,0 +1,730 @@
pragma Singleton
import QtQuick
import Quickshell
Singleton {
id: root
// Public API
function go(search, targets, options) {
return _go(search, targets, options);
}
function single(search, target) {
return _single(search, target);
}
function highlight(result, open, close) {
if (open === undefined) open = '<b>';
if (close === undefined) close = '</b>';
return _highlight(result, open, close);
}
function prepare(target) {
return _prepare(target);
}
function cleanup() {
return _cleanup();
}
// Internal implementation
readonly property var _INFINITY: Infinity
readonly property var _NEGATIVE_INFINITY: -Infinity
readonly property var _NULL: null
property var _noResults: { let r = []; r.total = 0; return r; }
property var _noTarget: _prepare('')
property var _preparedCache: new Map()
property var _preparedSearchCache: new Map()
property var _matchesSimple: []
property var _matchesStrict: []
property var _nextBeginningIndexesChanges: []
property var _keysSpacesBestScores: []
property var _allowPartialMatchScores: []
property var _tmpTargets: []
property var _tmpResults: []
property var _q: _fastpriorityqueue()
function _fastpriorityqueue() {
var e = [], o = 0, a = {};
var v = function(r) {
for (var a = 0, vc = e[a], c = 1; c < o;) {
var s = c + 1;
a = c;
if (s < o && e[s]._score < e[c]._score) a = s;
e[a - 1 >> 1] = e[a];
c = 1 + (a << 1);
}
for (var f = a - 1 >> 1; a > 0 && vc._score < e[f]._score; f = (a = f) - 1 >> 1)
e[a] = e[f];
e[a] = vc;
};
a.add = function(r) {
var ac = o;
e[o++] = r;
for (var vc = ac - 1 >> 1; ac > 0 && r._score < e[vc]._score; vc = (ac = vc) - 1 >> 1)
e[ac] = e[vc];
e[ac] = r;
};
a.poll = function() {
if (o !== 0) {
var ac = e[0];
e[0] = e[--o];
v();
return ac;
}
};
a.peek = function() {
if (o !== 0) return e[0];
};
a.replaceTop = function(r) {
e[0] = r;
v();
};
return a;
}
function _createResult() {
return {
target: '',
obj: _NULL,
_score: _NEGATIVE_INFINITY,
_indexes: [],
_targetLower: '',
_targetLowerCodes: _NULL,
_nextBeginningIndexes: _NULL,
_bitflags: 0,
get indexes() { return this._indexes.slice(0, this._indexes.len).sort((a, b) => a - b); },
set indexes(idx) { this._indexes = idx; },
highlight: function(open, close) { return root._highlight(this, open, close); },
get score() { return root._normalizeScore(this._score); },
set score(s) { this._score = root._denormalizeScore(s); }
};
}
function _createKeysResult(len) {
var arr = new Array(len);
arr._score = _NEGATIVE_INFINITY;
arr.obj = _NULL;
Object.defineProperty(arr, 'score', {
get: function() { return root._normalizeScore(this._score); },
set: function(s) { this._score = root._denormalizeScore(s); }
});
return arr;
}
function _new_result(target, options) {
var result = _createResult();
result.target = target;
result.obj = options.obj ?? _NULL;
result._score = options._score ?? _NEGATIVE_INFINITY;
result._indexes = options._indexes ?? [];
result._targetLower = options._targetLower ?? '';
result._targetLowerCodes = options._targetLowerCodes ?? _NULL;
result._nextBeginningIndexes = options._nextBeginningIndexes ?? _NULL;
result._bitflags = options._bitflags ?? 0;
return result;
}
function _normalizeScore(score) {
if (score === _NEGATIVE_INFINITY) return 0;
if (score > 1) return score;
return Math.E ** (((-score + 1) ** 0.04307 - 1) * -2);
}
function _denormalizeScore(normalizedScore) {
if (normalizedScore === 0) return _NEGATIVE_INFINITY;
if (normalizedScore > 1) return normalizedScore;
return 1 - Math.pow((Math.log(normalizedScore) / -2 + 1), 1 / 0.04307);
}
function _remove_accents(str) {
return str.replace(/\p{Script=Latin}+/gu, match => match.normalize('NFD')).replace(/[\u0300-\u036f]/g, '');
}
function _prepareLowerInfo(str) {
str = _remove_accents(str);
var strLen = str.length;
var lower = str.toLowerCase();
var lowerCodes = [];
var bitflags = 0;
var containsSpace = false;
for (var i = 0; i < strLen; ++i) {
var lowerCode = lowerCodes[i] = lower.charCodeAt(i);
if (lowerCode === 32) {
containsSpace = true;
continue;
}
var bit = lowerCode >= 97 && lowerCode <= 122 ? lowerCode - 97
: lowerCode >= 48 && lowerCode <= 57 ? 26
: lowerCode <= 127 ? 30 : 31;
bitflags |= 1 << bit;
}
return { lowerCodes: lowerCodes, bitflags: bitflags, containsSpace: containsSpace, _lower: lower };
}
function _prepareBeginningIndexes(target) {
var targetLen = target.length;
var beginningIndexes = [];
var beginningIndexesLen = 0;
var wasUpper = false;
var wasAlphanum = false;
for (var i = 0; i < targetLen; ++i) {
var targetCode = target.charCodeAt(i);
var isUpper = targetCode >= 65 && targetCode <= 90;
var isAlphanum = isUpper || targetCode >= 97 && targetCode <= 122 || targetCode >= 48 && targetCode <= 57;
var isBeginning = isUpper && !wasUpper || !wasAlphanum || !isAlphanum;
wasUpper = isUpper;
wasAlphanum = isAlphanum;
if (isBeginning) beginningIndexes[beginningIndexesLen++] = i;
}
return beginningIndexes;
}
function _prepareNextBeginningIndexes(target) {
target = _remove_accents(target);
var targetLen = target.length;
var beginningIndexes = _prepareBeginningIndexes(target);
var nextBeginningIndexes = [];
var lastIsBeginning = beginningIndexes[0];
var lastIsBeginningI = 0;
for (var i = 0; i < targetLen; ++i) {
if (lastIsBeginning > i) {
nextBeginningIndexes[i] = lastIsBeginning;
} else {
lastIsBeginning = beginningIndexes[++lastIsBeginningI];
nextBeginningIndexes[i] = lastIsBeginning === undefined ? targetLen : lastIsBeginning;
}
}
return nextBeginningIndexes;
}
function _prepareSearch(search) {
if (typeof search === 'number') search = '' + search;
else if (typeof search !== 'string') search = '';
search = search.trim();
var info = _prepareLowerInfo(search);
var spaceSearches = [];
if (info.containsSpace) {
var searches = search.split(/\s+/);
searches = [...new Set(searches)];
for (var i = 0; i < searches.length; i++) {
if (searches[i] === '') continue;
var _info = _prepareLowerInfo(searches[i]);
spaceSearches.push({ lowerCodes: _info.lowerCodes, _lower: searches[i].toLowerCase(), containsSpace: false });
}
}
return { lowerCodes: info.lowerCodes, _lower: info._lower, containsSpace: info.containsSpace, bitflags: info.bitflags, spaceSearches: spaceSearches };
}
function _prepare(target) {
if (typeof target === 'number') target = '' + target;
else if (typeof target !== 'string') target = '';
var info = _prepareLowerInfo(target);
return _new_result(target, { _targetLower: info._lower, _targetLowerCodes: info.lowerCodes, _bitflags: info.bitflags });
}
function _cleanup() {
_preparedCache.clear();
_preparedSearchCache.clear();
}
function _isPrepared(x) {
return typeof x === 'object' && typeof x._bitflags === 'number';
}
function _getPrepared(target) {
if (target.length > 999) return _prepare(target);
var targetPrepared = _preparedCache.get(target);
if (targetPrepared !== undefined) return targetPrepared;
targetPrepared = _prepare(target);
_preparedCache.set(target, targetPrepared);
return targetPrepared;
}
function _getPreparedSearch(search) {
if (search.length > 999) return _prepareSearch(search);
var searchPrepared = _preparedSearchCache.get(search);
if (searchPrepared !== undefined) return searchPrepared;
searchPrepared = _prepareSearch(search);
_preparedSearchCache.set(search, searchPrepared);
return searchPrepared;
}
function _getValue(obj, prop) {
var tmp = obj[prop];
if (tmp !== undefined) return tmp;
if (typeof prop === 'function') return prop(obj);
var segs = prop;
if (!Array.isArray(prop)) segs = prop.split('.');
var len = segs.length;
var i = -1;
while (obj && (++i < len)) obj = obj[segs[i]];
return obj;
}
function _single(search, target) {
if (!search || !target) return _NULL;
var preparedSearch = _getPreparedSearch(search);
if (!_isPrepared(target)) target = _getPrepared(target);
var searchBitflags = preparedSearch.bitflags;
if ((searchBitflags & target._bitflags) !== searchBitflags) return _NULL;
return _algorithm(preparedSearch, target);
}
function _highlight(result, open, close) {
if (open === undefined) open = '<b>';
if (close === undefined) close = '</b>';
var callback = typeof open === 'function' ? open : undefined;
var target = result.target;
var targetLen = target.length;
var indexes = result.indexes;
var highlighted = '';
var matchI = 0;
var indexesI = 0;
var opened = false;
var parts = [];
for (var i = 0; i < targetLen; ++i) {
var ch = target[i];
if (indexes[indexesI] === i) {
++indexesI;
if (!opened) {
opened = true;
if (callback) {
parts.push(highlighted);
highlighted = '';
} else {
highlighted += open;
}
}
if (indexesI === indexes.length) {
if (callback) {
highlighted += ch;
parts.push(callback(highlighted, matchI++));
highlighted = '';
parts.push(target.substr(i + 1));
} else {
highlighted += ch + close + target.substr(i + 1);
}
break;
}
} else {
if (opened) {
opened = false;
if (callback) {
parts.push(callback(highlighted, matchI++));
highlighted = '';
} else {
highlighted += close;
}
}
}
highlighted += ch;
}
return callback ? parts : highlighted;
}
function _all(targets, options) {
var results = [];
results.total = targets.length;
var limit = options?.limit || _INFINITY;
if (options?.key) {
for (var i = 0; i < targets.length; i++) {
var obj = targets[i];
var target = _getValue(obj, options.key);
if (target == _NULL) continue;
if (!_isPrepared(target)) target = _getPrepared(target);
var result = _new_result(target.target, { _score: target._score, obj: obj });
results.push(result);
if (results.length >= limit) return results;
}
} else if (options?.keys) {
for (var i = 0; i < targets.length; i++) {
var obj = targets[i];
var objResults = _createKeysResult(options.keys.length);
for (var keyI = options.keys.length - 1; keyI >= 0; --keyI) {
var target = _getValue(obj, options.keys[keyI]);
if (!target) { objResults[keyI] = _noTarget; continue; }
if (!_isPrepared(target)) target = _getPrepared(target);
target._score = _NEGATIVE_INFINITY;
target._indexes.len = 0;
objResults[keyI] = target;
}
objResults.obj = obj;
objResults._score = _NEGATIVE_INFINITY;
results.push(objResults);
if (results.length >= limit) return results;
}
} else {
for (var i = 0; i < targets.length; i++) {
var target = targets[i];
if (target == _NULL) continue;
if (!_isPrepared(target)) target = _getPrepared(target);
target._score = _NEGATIVE_INFINITY;
target._indexes.len = 0;
results.push(target);
if (results.length >= limit) return results;
}
}
return results;
}
function _algorithm(preparedSearch, prepared, allowSpaces, allowPartialMatch) {
if (allowSpaces === undefined) allowSpaces = false;
if (allowPartialMatch === undefined) allowPartialMatch = false;
if (allowSpaces === false && preparedSearch.containsSpace)
return _algorithmSpaces(preparedSearch, prepared, allowPartialMatch);
var searchLower = preparedSearch._lower;
var searchLowerCodes = preparedSearch.lowerCodes;
var searchLowerCode = searchLowerCodes[0];
var targetLowerCodes = prepared._targetLowerCodes;
var searchLen = searchLowerCodes.length;
var targetLen = targetLowerCodes.length;
var searchI = 0;
var targetI = 0;
var matchesSimpleLen = 0;
for (;;) {
var isMatch = searchLowerCode === targetLowerCodes[targetI];
if (isMatch) {
_matchesSimple[matchesSimpleLen++] = targetI;
++searchI;
if (searchI === searchLen) break;
searchLowerCode = searchLowerCodes[searchI];
}
++targetI;
if (targetI >= targetLen) return _NULL;
}
searchI = 0;
var successStrict = false;
var matchesStrictLen = 0;
var nextBeginningIndexes = prepared._nextBeginningIndexes;
if (nextBeginningIndexes === _NULL)
nextBeginningIndexes = prepared._nextBeginningIndexes = _prepareNextBeginningIndexes(prepared.target);
targetI = _matchesSimple[0] === 0 ? 0 : nextBeginningIndexes[_matchesSimple[0] - 1];
var backtrackCount = 0;
if (targetI !== targetLen) for (;;) {
if (targetI >= targetLen) {
if (searchI <= 0) break;
++backtrackCount;
if (backtrackCount > 200) break;
--searchI;
var lastMatch = _matchesStrict[--matchesStrictLen];
targetI = nextBeginningIndexes[lastMatch];
} else {
var isMatch = searchLowerCodes[searchI] === targetLowerCodes[targetI];
if (isMatch) {
_matchesStrict[matchesStrictLen++] = targetI;
++searchI;
if (searchI === searchLen) { successStrict = true; break; }
++targetI;
} else {
targetI = nextBeginningIndexes[targetI];
}
}
}
var substringIndex = searchLen <= 1 ? -1 : prepared._targetLower.indexOf(searchLower, _matchesSimple[0]);
var isSubstring = !!~substringIndex;
var isSubstringBeginning = !isSubstring ? false : substringIndex === 0 || prepared._nextBeginningIndexes[substringIndex - 1] === substringIndex;
if (isSubstring && !isSubstringBeginning) {
for (var i = 0; i < nextBeginningIndexes.length; i = nextBeginningIndexes[i]) {
if (i <= substringIndex) continue;
for (var s = 0; s < searchLen; s++)
if (searchLowerCodes[s] !== prepared._targetLowerCodes[i + s]) break;
if (s === searchLen) { substringIndex = i; isSubstringBeginning = true; break; }
}
}
var calculateScore = function(matches) {
var score = 0;
var extraMatchGroupCount = 0;
for (var i = 1; i < searchLen; ++i) {
if (matches[i] - matches[i - 1] !== 1) { score -= matches[i]; ++extraMatchGroupCount; }
}
var unmatchedDistance = matches[searchLen - 1] - matches[0] - (searchLen - 1);
score -= (12 + unmatchedDistance) * extraMatchGroupCount;
if (matches[0] !== 0) score -= matches[0] * matches[0] * 0.2;
if (!successStrict) {
score *= 1000;
} else {
var uniqueBeginningIndexes = 1;
for (var i = nextBeginningIndexes[0]; i < targetLen; i = nextBeginningIndexes[i]) ++uniqueBeginningIndexes;
if (uniqueBeginningIndexes > 24) score *= (uniqueBeginningIndexes - 24) * 10;
}
score -= (targetLen - searchLen) / 2;
if (isSubstring) score /= 1 + searchLen * searchLen * 1;
if (isSubstringBeginning) score /= 1 + searchLen * searchLen * 1;
score -= (targetLen - searchLen) / 2;
return score;
};
var matchesBest, score;
if (!successStrict) {
if (isSubstring) for (var i = 0; i < searchLen; ++i) _matchesSimple[i] = substringIndex + i;
matchesBest = _matchesSimple;
score = calculateScore(matchesBest);
} else {
if (isSubstringBeginning) {
for (var i = 0; i < searchLen; ++i) _matchesSimple[i] = substringIndex + i;
matchesBest = _matchesSimple;
score = calculateScore(_matchesSimple);
} else {
matchesBest = _matchesStrict;
score = calculateScore(_matchesStrict);
}
}
prepared._score = score;
for (var i = 0; i < searchLen; ++i) prepared._indexes[i] = matchesBest[i];
prepared._indexes.len = searchLen;
var result = _createResult();
result.target = prepared.target;
result._score = prepared._score;
result._indexes = prepared._indexes;
return result;
}
function _algorithmSpaces(preparedSearch, target, allowPartialMatch) {
var seen_indexes = new Set();
var score = 0;
var result = _NULL;
var first_seen_index_last_search = 0;
var searches = preparedSearch.spaceSearches;
var searchesLen = searches.length;
var changeslen = 0;
var resetNextBeginningIndexes = function() {
for (let i = changeslen - 1; i >= 0; i--)
target._nextBeginningIndexes[_nextBeginningIndexesChanges[i * 2 + 0]] = _nextBeginningIndexesChanges[i * 2 + 1];
};
var hasAtLeast1Match = false;
for (var i = 0; i < searchesLen; ++i) {
_allowPartialMatchScores[i] = _NEGATIVE_INFINITY;
var search = searches[i];
result = _algorithm(search, target);
if (allowPartialMatch) {
if (result === _NULL) continue;
hasAtLeast1Match = true;
} else {
if (result === _NULL) { resetNextBeginningIndexes(); return _NULL; }
}
var isTheLastSearch = i === searchesLen - 1;
if (!isTheLastSearch) {
var indexes = result._indexes;
var indexesIsConsecutiveSubstring = true;
for (let j = 0; j < indexes.len - 1; j++) {
if (indexes[j + 1] - indexes[j] !== 1) {
indexesIsConsecutiveSubstring = false;
break;
}
}
if (indexesIsConsecutiveSubstring) {
var newBeginningIndex = indexes[indexes.len - 1] + 1;
var toReplace = target._nextBeginningIndexes[newBeginningIndex - 1];
for (let j = newBeginningIndex - 1; j >= 0; j--) {
if (toReplace !== target._nextBeginningIndexes[j]) break;
target._nextBeginningIndexes[j] = newBeginningIndex;
_nextBeginningIndexesChanges[changeslen * 2 + 0] = j;
_nextBeginningIndexesChanges[changeslen * 2 + 1] = toReplace;
changeslen++;
}
}
}
score += result._score / searchesLen;
_allowPartialMatchScores[i] = result._score / searchesLen;
if (result._indexes[0] < first_seen_index_last_search) {
score -= (first_seen_index_last_search - result._indexes[0]) * 2;
}
first_seen_index_last_search = result._indexes[0];
for (var j = 0; j < result._indexes.len; ++j) seen_indexes.add(result._indexes[j]);
}
if (allowPartialMatch && !hasAtLeast1Match) return _NULL;
resetNextBeginningIndexes();
var allowSpacesResult = _algorithm(preparedSearch, target, true);
if (allowSpacesResult !== _NULL && allowSpacesResult._score > score) {
if (allowPartialMatch) {
for (var i = 0; i < searchesLen; ++i) {
_allowPartialMatchScores[i] = allowSpacesResult._score / searchesLen;
}
}
return allowSpacesResult;
}
if (allowPartialMatch) result = target;
result._score = score;
var idx = 0;
for (let index of seen_indexes) result._indexes[idx++] = index;
result._indexes.len = idx;
return result;
}
function _go(search, targets, options) {
if (!search) return options?.all ? _all(targets, options) : _noResults;
var preparedSearch = _getPreparedSearch(search);
var searchBitflags = preparedSearch.bitflags;
var containsSpace = preparedSearch.containsSpace;
var threshold = _denormalizeScore(options?.threshold || 0);
var limit = options?.limit || _INFINITY;
var resultsLen = 0;
var limitedCount = 0;
var targetsLen = targets.length;
function push_result(result) {
if (resultsLen < limit) { _q.add(result); ++resultsLen; }
else {
++limitedCount;
if (result._score > _q.peek()._score) _q.replaceTop(result);
}
}
if (options?.key) {
var key = options.key;
for (var i = 0; i < targetsLen; ++i) {
var obj = targets[i];
var target = _getValue(obj, key);
if (!target) continue;
if (!_isPrepared(target)) target = _getPrepared(target);
if ((searchBitflags & target._bitflags) !== searchBitflags) continue;
var result = _algorithm(preparedSearch, target);
if (result === _NULL) continue;
if (result._score < threshold) continue;
result.obj = obj;
push_result(result);
}
} else if (options?.keys) {
var keys = options.keys;
var keysLen = keys.length;
outer: for (var i = 0; i < targetsLen; ++i) {
var obj = targets[i];
var keysBitflags = 0;
for (var keyI = 0; keyI < keysLen; ++keyI) {
var key = keys[keyI];
var target = _getValue(obj, key);
if (!target) { _tmpTargets[keyI] = _noTarget; continue; }
if (!_isPrepared(target)) target = _getPrepared(target);
_tmpTargets[keyI] = target;
keysBitflags |= target._bitflags;
}
if ((searchBitflags & keysBitflags) !== searchBitflags) continue;
if (containsSpace)
for (let j = 0; j < preparedSearch.spaceSearches.length; j++)
_keysSpacesBestScores[j] = _NEGATIVE_INFINITY;
for (var keyI = 0; keyI < keysLen; ++keyI) {
target = _tmpTargets[keyI];
if (target === _noTarget) { _tmpResults[keyI] = _noTarget; continue; }
_tmpResults[keyI] = _algorithm(preparedSearch, target, false, containsSpace);
if (_tmpResults[keyI] === _NULL) { _tmpResults[keyI] = _noTarget; continue; }
if (containsSpace) for (let j = 0; j < preparedSearch.spaceSearches.length; j++) {
if (_allowPartialMatchScores[j] > -1000) {
if (_keysSpacesBestScores[j] > _NEGATIVE_INFINITY) {
var tmp = (_keysSpacesBestScores[j] + _allowPartialMatchScores[j]) / 4;
if (tmp > _keysSpacesBestScores[j]) _keysSpacesBestScores[j] = tmp;
}
}
if (_allowPartialMatchScores[j] > _keysSpacesBestScores[j])
_keysSpacesBestScores[j] = _allowPartialMatchScores[j];
}
}
if (containsSpace) {
for (let j = 0; j < preparedSearch.spaceSearches.length; j++)
if (_keysSpacesBestScores[j] === _NEGATIVE_INFINITY) continue outer;
} else {
var hasAtLeast1Match = false;
for (let j = 0; j < keysLen; j++)
if (_tmpResults[j]._score !== _NEGATIVE_INFINITY) { hasAtLeast1Match = true; break; }
if (!hasAtLeast1Match) continue;
}
var objResults = _createKeysResult(keysLen);
for (let j = 0; j < keysLen; j++) objResults[j] = _tmpResults[j];
var score;
if (containsSpace) {
score = 0;
for (let j = 0; j < preparedSearch.spaceSearches.length; j++) score += _keysSpacesBestScores[j];
} else {
score = _NEGATIVE_INFINITY;
for (let j = 0; j < keysLen; j++) {
var res = objResults[j];
if (res._score > -1000) {
if (score > _NEGATIVE_INFINITY) {
var tmp = (score + res._score) / 4;
if (tmp > score) score = tmp;
}
}
if (res._score > score) score = res._score;
}
}
objResults.obj = obj;
objResults._score = score;
if (options?.scoreFn) {
score = options.scoreFn(objResults);
if (!score) continue;
score = _denormalizeScore(score);
objResults._score = score;
}
if (score < threshold) continue;
push_result(objResults);
}
} else {
for (var i = 0; i < targetsLen; ++i) {
var target = targets[i];
if (!target) continue;
if (!_isPrepared(target)) target = _getPrepared(target);
if ((searchBitflags & target._bitflags) !== searchBitflags) continue;
var result = _algorithm(preparedSearch, target);
if (result === _NULL) continue;
if (result._score < threshold) continue;
push_result(result);
}
}
if (resultsLen === 0) return _noResults;
var results = new Array(resultsLen);
for (var i = resultsLen - 1; i >= 0; --i) results[i] = _q.poll();
results.total = resultsLen + limitedCount;
return results;
}
}
+1 -1
View File
@@ -2,7 +2,7 @@ pragma Singleton
import QtQuick
import Quickshell
import "../Helpers/FuzzySort.js" as FuzzySort
import qs.Commons
Singleton {
id: root
-678
View File
@@ -1,678 +0,0 @@
.pragma library
var single = (search, target) => {
if(!search || !target) return NULL
var preparedSearch = getPreparedSearch(search)
if(!isPrepared(target)) target = getPrepared(target)
var searchBitflags = preparedSearch.bitflags
if((searchBitflags & target._bitflags) !== searchBitflags) return NULL
return algorithm(preparedSearch, target)
}
var go = (search, targets, options) => {
if(!search) return options?.all ? all(targets, options) : noResults
var preparedSearch = getPreparedSearch(search)
var searchBitflags = preparedSearch.bitflags
var containsSpace = preparedSearch.containsSpace
var threshold = denormalizeScore( options?.threshold || 0 )
var limit = options?.limit || INFINITY
var resultsLen = 0; var limitedCount = 0
var targetsLen = targets.length
function push_result(result) {
if(resultsLen < limit) { q.add(result); ++resultsLen }
else {
++limitedCount
if(result._score > q.peek()._score) q.replaceTop(result)
}
}
// This code is copy/pasted 3 times for performance reasons [options.key, options.keys, no keys]
// options.key
if(options?.key) {
var key = options.key
for(var i = 0; i < targetsLen; ++i) { var obj = targets[i]
var target = getValue(obj, key)
if(!target) continue
if(!isPrepared(target)) target = getPrepared(target)
if((searchBitflags & target._bitflags) !== searchBitflags) continue
var result = algorithm(preparedSearch, target)
if(result === NULL) continue
if(result._score < threshold) continue
result.obj = obj
push_result(result)
}
// options.keys
} else if(options?.keys) {
var keys = options.keys
var keysLen = keys.length
outer: for(var i = 0; i < targetsLen; ++i) { var obj = targets[i]
{ // early out based on bitflags
var keysBitflags = 0
for (var keyI = 0; keyI < keysLen; ++keyI) {
var key = keys[keyI]
var target = getValue(obj, key)
if(!target) { tmpTargets[keyI] = noTarget; continue }
if(!isPrepared(target)) target = getPrepared(target)
tmpTargets[keyI] = target
keysBitflags |= target._bitflags
}
if((searchBitflags & keysBitflags) !== searchBitflags) continue
}
if(containsSpace) for(let i=0; i<preparedSearch.spaceSearches.length; i++) keysSpacesBestScores[i] = NEGATIVE_INFINITY
for (var keyI = 0; keyI < keysLen; ++keyI) {
target = tmpTargets[keyI]
if(target === noTarget) { tmpResults[keyI] = noTarget; continue }
tmpResults[keyI] = algorithm(preparedSearch, target, /*allowSpaces=*/false, /*allowPartialMatch=*/containsSpace)
if(tmpResults[keyI] === NULL) { tmpResults[keyI] = noTarget; continue }
// todo: this seems weird and wrong. like what if our first match wasn't good. this should just replace it instead of averaging with it
// if our second match isn't good we ignore it instead of averaging with it
if(containsSpace) for(let i=0; i<preparedSearch.spaceSearches.length; i++) {
if(allowPartialMatchScores[i] > -1000) {
if(keysSpacesBestScores[i] > NEGATIVE_INFINITY) {
var tmp = (keysSpacesBestScores[i] + allowPartialMatchScores[i]) / 4/*bonus score for having multiple matches*/
if(tmp > keysSpacesBestScores[i]) keysSpacesBestScores[i] = tmp
}
}
if(allowPartialMatchScores[i] > keysSpacesBestScores[i]) keysSpacesBestScores[i] = allowPartialMatchScores[i]
}
}
if(containsSpace) {
for(let i=0; i<preparedSearch.spaceSearches.length; i++) { if(keysSpacesBestScores[i] === NEGATIVE_INFINITY) continue outer }
} else {
var hasAtLeast1Match = false
for(let i=0; i < keysLen; i++) { if(tmpResults[i]._score !== NEGATIVE_INFINITY) { hasAtLeast1Match = true; break } }
if(!hasAtLeast1Match) continue
}
var objResults = new KeysResult(keysLen)
for(let i=0; i < keysLen; i++) { objResults[i] = tmpResults[i] }
if(containsSpace) {
var score = 0
for(let i=0; i<preparedSearch.spaceSearches.length; i++) score += keysSpacesBestScores[i]
} else {
// todo could rewrite this scoring to be more similar to when there's spaces
// if we match multiple keys give us bonus points
var score = NEGATIVE_INFINITY
for(let i=0; i<keysLen; i++) {
var result = objResults[i]
if(result._score > -1000) {
if(score > NEGATIVE_INFINITY) {
var tmp = (score + result._score) / 4/*bonus score for having multiple matches*/
if(tmp > score) score = tmp
}
}
if(result._score > score) score = result._score
}
}
objResults.obj = obj
objResults._score = score
if(options?.scoreFn) {
score = options.scoreFn(objResults)
if(!score) continue
score = denormalizeScore(score)
objResults._score = score
}
if(score < threshold) continue
push_result(objResults)
}
// no keys
} else {
for(var i = 0; i < targetsLen; ++i) { var target = targets[i]
if(!target) continue
if(!isPrepared(target)) target = getPrepared(target)
if((searchBitflags & target._bitflags) !== searchBitflags) continue
var result = algorithm(preparedSearch, target)
if(result === NULL) continue
if(result._score < threshold) continue
push_result(result)
}
}
if(resultsLen === 0) return noResults
var results = new Array(resultsLen)
for(var i = resultsLen - 1; i >= 0; --i) results[i] = q.poll()
results.total = resultsLen + limitedCount
return results
}
// this is written as 1 function instead of 2 for minification. perf seems fine ...
// except when minified. the perf is very slow
var highlight = (result, open='<b>', close='</b>') => {
var callback = typeof open === 'function' ? open : undefined
var target = result.target
var targetLen = target.length
var indexes = result.indexes
var highlighted = ''
var matchI = 0
var indexesI = 0
var opened = false
var parts = []
for(var i = 0; i < targetLen; ++i) { var char = target[i]
if(indexes[indexesI] === i) {
++indexesI
if(!opened) { opened = true
if(callback) {
parts.push(highlighted); highlighted = ''
} else {
highlighted += open
}
}
if(indexesI === indexes.length) {
if(callback) {
highlighted += char
parts.push(callback(highlighted, matchI++)); highlighted = ''
parts.push(target.substr(i+1))
} else {
highlighted += char + close + target.substr(i+1)
}
break
}
} else {
if(opened) { opened = false
if(callback) {
parts.push(callback(highlighted, matchI++)); highlighted = ''
} else {
highlighted += close
}
}
}
highlighted += char
}
return callback ? parts : highlighted
}
var prepare = (target) => {
if(typeof target === 'number') target = ''+target
else if(typeof target !== 'string') target = ''
var info = prepareLowerInfo(target)
return new_result(target, {_targetLower:info._lower, _targetLowerCodes:info.lowerCodes, _bitflags:info.bitflags})
}
var cleanup = () => { preparedCache.clear(); preparedSearchCache.clear() }
// Below this point is only internal code
// Below this point is only internal code
// Below this point is only internal code
// Below this point is only internal code
class Result {
get ['indexes']() { return this._indexes.slice(0, this._indexes.len).sort((a,b)=>a-b) }
set ['indexes'](indexes) { return this._indexes = indexes }
['highlight'](open, close) { return highlight(this, open, close) }
get ['score']() { return normalizeScore(this._score) }
set ['score'](score) { this._score = denormalizeScore(score) }
}
class KeysResult extends Array {
get ['score']() { return normalizeScore(this._score) }
set ['score'](score) { this._score = denormalizeScore(score) }
}
var new_result = (target, options) => {
const result = new Result()
result['target'] = target
result['obj'] = options.obj ?? NULL
result._score = options._score ?? NEGATIVE_INFINITY
result._indexes = options._indexes ?? []
result._targetLower = options._targetLower ?? ''
result._targetLowerCodes = options._targetLowerCodes ?? NULL
result._nextBeginningIndexes = options._nextBeginningIndexes ?? NULL
result._bitflags = options._bitflags ?? 0
return result
}
var normalizeScore = score => {
if(score === NEGATIVE_INFINITY) return 0
if(score > 1) return score
return Math.E ** ( ((-score + 1)**.04307 - 1) * -2)
}
var denormalizeScore = normalizedScore => {
if(normalizedScore === 0) return NEGATIVE_INFINITY
if(normalizedScore > 1) return normalizedScore
return 1 - Math.pow((Math.log(normalizedScore) / -2 + 1), 1 / 0.04307)
}
var prepareSearch = (search) => {
if(typeof search === 'number') search = ''+search
else if(typeof search !== 'string') search = ''
search = search.trim()
var info = prepareLowerInfo(search)
var spaceSearches = []
if(info.containsSpace) {
var searches = search.split(/\s+/)
searches = [...new Set(searches)] // distinct
for(var i=0; i<searches.length; i++) {
if(searches[i] === '') continue
var _info = prepareLowerInfo(searches[i])
spaceSearches.push({lowerCodes:_info.lowerCodes, _lower:searches[i].toLowerCase(), containsSpace:false})
}
}
return {lowerCodes: info.lowerCodes, _lower: info._lower, containsSpace: info.containsSpace, bitflags: info.bitflags, spaceSearches: spaceSearches}
}
var getPrepared = (target) => {
if(target.length > 999) return prepare(target) // don't cache huge targets
var targetPrepared = preparedCache.get(target)
if(targetPrepared !== undefined) return targetPrepared
targetPrepared = prepare(target)
preparedCache.set(target, targetPrepared)
return targetPrepared
}
var getPreparedSearch = (search) => {
if(search.length > 999) return prepareSearch(search) // don't cache huge searches
var searchPrepared = preparedSearchCache.get(search)
if(searchPrepared !== undefined) return searchPrepared
searchPrepared = prepareSearch(search)
preparedSearchCache.set(search, searchPrepared)
return searchPrepared
}
var all = (targets, options) => {
var results = []; results.total = targets.length // this total can be wrong if some targets are skipped
var limit = options?.limit || INFINITY
if(options?.key) {
for(var i=0;i<targets.length;i++) { var obj = targets[i]
var target = getValue(obj, options.key)
if(target == NULL) continue
if(!isPrepared(target)) target = getPrepared(target)
var result = new_result(target.target, {_score: target._score, obj: obj})
results.push(result); if(results.length >= limit) return results
}
} else if(options?.keys) {
for(var i=0;i<targets.length;i++) { var obj = targets[i]
var objResults = new KeysResult(options.keys.length)
for (var keyI = options.keys.length - 1; keyI >= 0; --keyI) {
var target = getValue(obj, options.keys[keyI])
if(!target) { objResults[keyI] = noTarget; continue }
if(!isPrepared(target)) target = getPrepared(target)
target._score = NEGATIVE_INFINITY
target._indexes.len = 0
objResults[keyI] = target
}
objResults.obj = obj
objResults._score = NEGATIVE_INFINITY
results.push(objResults); if(results.length >= limit) return results
}
} else {
for(var i=0;i<targets.length;i++) { var target = targets[i]
if(target == NULL) continue
if(!isPrepared(target)) target = getPrepared(target)
target._score = NEGATIVE_INFINITY
target._indexes.len = 0
results.push(target); if(results.length >= limit) return results
}
}
return results
}
var algorithm = (preparedSearch, prepared, allowSpaces=false, allowPartialMatch=false) => {
if(allowSpaces===false && preparedSearch.containsSpace) return algorithmSpaces(preparedSearch, prepared, allowPartialMatch)
var searchLower = preparedSearch._lower
var searchLowerCodes = preparedSearch.lowerCodes
var searchLowerCode = searchLowerCodes[0]
var targetLowerCodes = prepared._targetLowerCodes
var searchLen = searchLowerCodes.length
var targetLen = targetLowerCodes.length
var searchI = 0 // where we at
var targetI = 0 // where you at
var matchesSimpleLen = 0
// very basic fuzzy match; to remove non-matching targets ASAP!
// walk through target. find sequential matches.
// if all chars aren't found then exit
for(;;) {
var isMatch = searchLowerCode === targetLowerCodes[targetI]
if(isMatch) {
matchesSimple[matchesSimpleLen++] = targetI
++searchI; if(searchI === searchLen) break
searchLowerCode = searchLowerCodes[searchI]
}
++targetI; if(targetI >= targetLen) return NULL // Failed to find searchI
}
var searchI = 0
var successStrict = false
var matchesStrictLen = 0
var nextBeginningIndexes = prepared._nextBeginningIndexes
if(nextBeginningIndexes === NULL) nextBeginningIndexes = prepared._nextBeginningIndexes = prepareNextBeginningIndexes(prepared.target)
targetI = matchesSimple[0]===0 ? 0 : nextBeginningIndexes[matchesSimple[0]-1]
// Our target string successfully matched all characters in sequence!
// Let's try a more advanced and strict test to improve the score
// only count it as a match if it's consecutive or a beginning character!
var backtrackCount = 0
if(targetI !== targetLen) for(;;) {
if(targetI >= targetLen) {
// We failed to find a good spot for this search char, go back to the previous search char and force it forward
if(searchI <= 0) break // We failed to push chars forward for a better match
++backtrackCount; if(backtrackCount > 200) break // exponential backtracking is taking too long, just give up and return a bad match
--searchI
var lastMatch = matchesStrict[--matchesStrictLen]
targetI = nextBeginningIndexes[lastMatch]
} else {
var isMatch = searchLowerCodes[searchI] === targetLowerCodes[targetI]
if(isMatch) {
matchesStrict[matchesStrictLen++] = targetI
++searchI; if(searchI === searchLen) { successStrict = true; break }
++targetI
} else {
targetI = nextBeginningIndexes[targetI]
}
}
}
// check if it's a substring match
var substringIndex = searchLen <= 1 ? -1 : prepared._targetLower.indexOf(searchLower, matchesSimple[0]) // perf: this is slow
var isSubstring = !!~substringIndex
var isSubstringBeginning = !isSubstring ? false : substringIndex===0 || prepared._nextBeginningIndexes[substringIndex-1] === substringIndex
// if it's a substring match but not at a beginning index, let's try to find a substring starting at a beginning index for a better score
if(isSubstring && !isSubstringBeginning) {
for(var i=0; i<nextBeginningIndexes.length; i=nextBeginningIndexes[i]) {
if(i <= substringIndex) continue
for(var s=0; s<searchLen; s++) if(searchLowerCodes[s] !== prepared._targetLowerCodes[i+s]) break
if(s === searchLen) { substringIndex = i; isSubstringBeginning = true; break }
}
}
// tally up the score & keep track of matches for highlighting later
// if it's a simple match, we'll switch to a substring match if a substring exists
// if it's a strict match, we'll switch to a substring match only if that's a better score
var calculateScore = matches => {
var score = 0
var extraMatchGroupCount = 0
for(var i = 1; i < searchLen; ++i) {
if(matches[i] - matches[i-1] !== 1) {score -= matches[i]; ++extraMatchGroupCount}
}
var unmatchedDistance = matches[searchLen-1] - matches[0] - (searchLen-1)
score -= (12+unmatchedDistance) * extraMatchGroupCount // penality for more groups
if(matches[0] !== 0) score -= matches[0]*matches[0]*.2 // penality for not starting near the beginning
if(!successStrict) {
score *= 1000
} else {
// successStrict on a target with too many beginning indexes loses points for being a bad target
var uniqueBeginningIndexes = 1
for(var i = nextBeginningIndexes[0]; i < targetLen; i=nextBeginningIndexes[i]) ++uniqueBeginningIndexes
if(uniqueBeginningIndexes > 24) score *= (uniqueBeginningIndexes-24)*10 // quite arbitrary numbers here ...
}
score -= (targetLen - searchLen)/2 // penality for longer targets
if(isSubstring) score /= 1+searchLen*searchLen*1 // bonus for being a full substring
if(isSubstringBeginning) score /= 1+searchLen*searchLen*1 // bonus for substring starting on a beginningIndex
score -= (targetLen - searchLen)/2 // penality for longer targets
return score
}
if(!successStrict) {
if(isSubstring) for(var i=0; i<searchLen; ++i) matchesSimple[i] = substringIndex+i // at this point it's safe to overwrite matchehsSimple with substr matches
var matchesBest = matchesSimple
var score = calculateScore(matchesBest)
} else {
if(isSubstringBeginning) {
for(var i=0; i<searchLen; ++i) matchesSimple[i] = substringIndex+i // at this point it's safe to overwrite matchehsSimple with substr matches
var matchesBest = matchesSimple
var score = calculateScore(matchesSimple)
} else {
var matchesBest = matchesStrict
var score = calculateScore(matchesStrict)
}
}
prepared._score = score
for(var i = 0; i < searchLen; ++i) prepared._indexes[i] = matchesBest[i]
prepared._indexes.len = searchLen
const result = new Result()
result.target = prepared.target
result._score = prepared._score
result._indexes = prepared._indexes
return result
}
var algorithmSpaces = (preparedSearch, target, allowPartialMatch) => {
var seen_indexes = new Set()
var score = 0
var result = NULL
var first_seen_index_last_search = 0
var searches = preparedSearch.spaceSearches
var searchesLen = searches.length
var changeslen = 0
// Return _nextBeginningIndexes back to its normal state
var resetNextBeginningIndexes = () => {
for(let i=changeslen-1; i>=0; i--) target._nextBeginningIndexes[nextBeginningIndexesChanges[i*2 + 0]] = nextBeginningIndexesChanges[i*2 + 1]
}
var hasAtLeast1Match = false
for(var i=0; i<searchesLen; ++i) {
allowPartialMatchScores[i] = NEGATIVE_INFINITY
var search = searches[i]
result = algorithm(search, target)
if(allowPartialMatch) {
if(result === NULL) continue
hasAtLeast1Match = true
} else {
if(result === NULL) {resetNextBeginningIndexes(); return NULL}
}
// if not the last search, we need to mutate _nextBeginningIndexes for the next search
var isTheLastSearch = i === searchesLen - 1
if(!isTheLastSearch) {
var indexes = result._indexes
var indexesIsConsecutiveSubstring = true
for(let i=0; i<indexes.len-1; i++) {
if(indexes[i+1] - indexes[i] !== 1) {
indexesIsConsecutiveSubstring = false; break;
}
}
if(indexesIsConsecutiveSubstring) {
var newBeginningIndex = indexes[indexes.len-1] + 1
var toReplace = target._nextBeginningIndexes[newBeginningIndex-1]
for(let i=newBeginningIndex-1; i>=0; i--) {
if(toReplace !== target._nextBeginningIndexes[i]) break
target._nextBeginningIndexes[i] = newBeginningIndex
nextBeginningIndexesChanges[changeslen*2 + 0] = i
nextBeginningIndexesChanges[changeslen*2 + 1] = toReplace
changeslen++
}
}
}
score += result._score / searchesLen
allowPartialMatchScores[i] = result._score / searchesLen
// dock points based on order otherwise "c man" returns Manifest.cpp instead of CheatManager.h
if(result._indexes[0] < first_seen_index_last_search) {
score -= (first_seen_index_last_search - result._indexes[0]) * 2
}
first_seen_index_last_search = result._indexes[0]
for(var j=0; j<result._indexes.len; ++j) seen_indexes.add(result._indexes[j])
}
if(allowPartialMatch && !hasAtLeast1Match) return NULL
resetNextBeginningIndexes()
// allows a search with spaces that's an exact substring to score well
var allowSpacesResult = algorithm(preparedSearch, target, /*allowSpaces=*/true)
if(allowSpacesResult !== NULL && allowSpacesResult._score > score) {
if(allowPartialMatch) {
for(var i=0; i<searchesLen; ++i) {
allowPartialMatchScores[i] = allowSpacesResult._score / searchesLen
}
}
return allowSpacesResult
}
if(allowPartialMatch) result = target
result._score = score
var i = 0
for (let index of seen_indexes) result._indexes[i++] = index
result._indexes.len = i
return result
}
// we use this instead of just .normalize('NFD').replace(/[\u0300-\u036f]/g, '') because that screws with japanese characters
var remove_accents = (str) => str.replace(/\p{Script=Latin}+/gu, match => match.normalize('NFD')).replace(/[\u0300-\u036f]/g, '')
var prepareLowerInfo = (str) => {
str = remove_accents(str)
var strLen = str.length
var lower = str.toLowerCase()
var lowerCodes = [] // new Array(strLen) sparse array is too slow
var bitflags = 0
var containsSpace = false // space isn't stored in bitflags because of how searching with a space works
for(var i = 0; i < strLen; ++i) {
var lowerCode = lowerCodes[i] = lower.charCodeAt(i)
if(lowerCode === 32) {
containsSpace = true
continue // it's important that we don't set any bitflags for space
}
var bit = lowerCode>=97&&lowerCode<=122 ? lowerCode-97 // alphabet
: lowerCode>=48&&lowerCode<=57 ? 26 // numbers
// 3 bits available
: lowerCode<=127 ? 30 // other ascii
: 31 // other utf8
bitflags |= 1<<bit
}
return {lowerCodes:lowerCodes, bitflags:bitflags, containsSpace:containsSpace, _lower:lower}
}
var prepareBeginningIndexes = (target) => {
var targetLen = target.length
var beginningIndexes = []; var beginningIndexesLen = 0
var wasUpper = false
var wasAlphanum = false
for(var i = 0; i < targetLen; ++i) {
var targetCode = target.charCodeAt(i)
var isUpper = targetCode>=65&&targetCode<=90
var isAlphanum = isUpper || targetCode>=97&&targetCode<=122 || targetCode>=48&&targetCode<=57
var isBeginning = isUpper && !wasUpper || !wasAlphanum || !isAlphanum
wasUpper = isUpper
wasAlphanum = isAlphanum
if(isBeginning) beginningIndexes[beginningIndexesLen++] = i
}
return beginningIndexes
}
var prepareNextBeginningIndexes = (target) => {
target = remove_accents(target)
var targetLen = target.length
var beginningIndexes = prepareBeginningIndexes(target)
var nextBeginningIndexes = [] // new Array(targetLen) sparse array is too slow
var lastIsBeginning = beginningIndexes[0]
var lastIsBeginningI = 0
for(var i = 0; i < targetLen; ++i) {
if(lastIsBeginning > i) {
nextBeginningIndexes[i] = lastIsBeginning
} else {
lastIsBeginning = beginningIndexes[++lastIsBeginningI]
nextBeginningIndexes[i] = lastIsBeginning===undefined ? targetLen : lastIsBeginning
}
}
return nextBeginningIndexes
}
var preparedCache = new Map()
var preparedSearchCache = new Map()
// the theory behind these being globals is to reduce garbage collection by not making new arrays
var matchesSimple = []; var matchesStrict = []
var nextBeginningIndexesChanges = [] // allows straw berry to match strawberry well, by modifying the end of a substring to be considered a beginning index for the rest of the search
var keysSpacesBestScores = []; var allowPartialMatchScores = []
var tmpTargets = []; var tmpResults = []
// prop = 'key' 2.5ms optimized for this case, seems to be about as fast as direct obj[prop]
// prop = 'key1.key2' 10ms
// prop = ['key1', 'key2'] 27ms
// prop = obj => obj.tags.join() ??ms
var getValue = (obj, prop) => {
var tmp = obj[prop]; if(tmp !== undefined) return tmp
if(typeof prop === 'function') return prop(obj) // this should run first. but that makes string props slower
var segs = prop
if(!Array.isArray(prop)) segs = prop.split('.')
var len = segs.length
var i = -1
while (obj && (++i < len)) obj = obj[segs[i]]
return obj
}
var isPrepared = (x) => { return typeof x === 'object' && typeof x._bitflags === 'number' }
var INFINITY = Infinity; var NEGATIVE_INFINITY = -INFINITY
var noResults = []; noResults.total = 0
var NULL = null
var noTarget = prepare('')
// Hacked version of https://github.com/lemire/FastPriorityQueue.js
var fastpriorityqueue=r=>{var e=[],o=0,a={},v=r=>{for(var a=0,v=e[a],c=1;c<o;){var s=c+1;a=c,s<o&&e[s]._score<e[c]._score&&(a=s),e[a-1>>1]=e[a],c=1+(a<<1)}for(var f=a-1>>1;a>0&&v._score<e[f]._score;f=(a=f)-1>>1)e[a]=e[f];e[a]=v};return a.add=(r=>{var a=o;e[o++]=r;for(var v=a-1>>1;a>0&&r._score<e[v]._score;v=(a=v)-1>>1)e[a]=e[v];e[a]=r}),a.poll=(r=>{if(0!==o){var a=e[0];return e[0]=e[--o],v(),a}}),a.peek=(r=>{if(0!==o)return e[0]}),a.replaceTop=(r=>{e[0]=r,v()}),a}
var q = fastpriorityqueue() // reuse this
+2 -3
View File
@@ -3,7 +3,6 @@ import QtQuick.Controls
import QtQuick.Layouts
import Quickshell
import Quickshell.Widgets
import "../../../Helpers/FuzzySort.js" as Fuzzysort
import "Providers"
import qs.Commons
@@ -420,9 +419,9 @@ SmartPanel {
// Filter commands using fuzzy search when typing partial command
const query = searchText.substring(1); // Remove the ">" prefix
if (typeof Fuzzysort !== 'undefined') {
if (typeof FuzzySort !== 'undefined') {
// Use fuzzy search to filter commands
const fuzzyResults = Fuzzysort.go(query, allCommands, {
const fuzzyResults = FuzzySort.go(query, allCommands, {
"keys": ["name"],
"threshold": -1000,
"limit": 50
@@ -1,7 +1,6 @@
import QtQuick
import Quickshell
import Quickshell.Io
import "../../../../Helpers/FuzzySort.js" as Fuzzysort
import qs.Commons
Item {
@@ -475,8 +474,8 @@ Item {
}
// Use fuzzy search if available, fallback to simple search
if (typeof Fuzzysort !== 'undefined') {
const fuzzyResults = Fuzzysort.go(query, filteredEntries, {
if (typeof FuzzySort !== 'undefined') {
const fuzzyResults = FuzzySort.go(query, filteredEntries, {
"keys": ["name", "comment", "genericName", "executableName"],
"threshold": -1000,
"limit": 20
@@ -1,7 +1,6 @@
import QtQuick
import QtQuick.Controls
import QtQuick.Layouts
import "../../../../../Helpers/FuzzySort.js" as Fuzzysort
import qs.Commons
import qs.Services.Noctalia
import qs.Services.UI
@@ -189,7 +188,7 @@ ColumnLayout {
// Then apply fuzzy search if there's search text
var query = root.pluginSearchText.trim();
if (query !== "") {
var results = Fuzzysort.go(query, filtered, {
var results = FuzzySort.go(query, filtered, {
"keys": ["name", "description"],
"threshold": 0.35,
"limit": 50
@@ -3,7 +3,6 @@ import QtQuick.Controls
import QtQuick.Layouts
import Quickshell
import Quickshell.Io
import "../../../Helpers/FuzzySort.js" as FuzzySort
import qs.Commons
import qs.Services.UI
import qs.Widgets
@@ -2,7 +2,6 @@ import QtQuick
import QtQuick.Controls
import QtQuick.Layouts
import Quickshell
import "../../../Helpers/FuzzySort.js" as FuzzySort
import qs.Commons
import qs.Modules.MainScreen
import qs.Modules.Panels.Settings
-1
View File
@@ -4,7 +4,6 @@ import QtQuick.Controls
import QtQuick.Layouts
import Quickshell
import Quickshell.Io
import "../Helpers/FuzzySort.js" as FuzzySort
import qs.Commons
import qs.Widgets
+2 -3
View File
@@ -1,7 +1,6 @@
import QtQuick
import QtQuick.Controls
import QtQuick.Layouts
import "../Helpers/FuzzySort.js" as Fuzzysort
import qs.Commons
import qs.Widgets
@@ -131,8 +130,8 @@ RowLayout {
}
// Use fuzzy search if available, fallback to simple search
if (typeof Fuzzysort !== 'undefined') {
var fuzzyResults = Fuzzysort.go(query, items, {
if (typeof FuzzySort !== 'undefined') {
var fuzzyResults = FuzzySort.go(query, items, {
"key": "name",
"threshold": -1000,
"limit": 50